globalchange  > 影响、适应和脆弱性
DOI: 10.1007/s00382-017-3641-x
Scopus ID: 2-s2.0-85018463161
Title:
Maritime Continent seasonal climate biases in AMIP experiments of the CMIP5 multimodel ensemble
Author: Toh Y.Y.; Turner A.G.; Johnson S.J.; Holloway C.E.
Source Publication: Climate Dynamics
ISSN: 9307575
Publishing Year: 2018
Volume: 50, Issue:2018-03-04
pages begin: 777
pages end: 800
Language: 英语
Keyword: Cluster analysis ; CMIP5 ; Hadley circulation ; Maritime Continent ; Monsoon ; Resolution
Scopus Keyword: climate modeling ; cluster analysis ; CMIP ; ensemble forecasting ; Hadley cell ; monsoon ; precipitation (climatology) ; spatial variation ; wind
English Abstract: The fidelity of 28 Coupled Model Intercomparison Project phase 5 (CMIP5) models in simulating mean climate over the Maritime Continent in the Atmospheric Model Intercomparison Project (AMIP) experiment is evaluated in this study. The performance of AMIP models varies greatly in reproducing seasonal mean climate and the seasonal cycle. The multi-model mean has better skill at reproducing the observed mean climate than the individual models. The spatial pattern of 850 hPa wind is better simulated than the precipitation in all four seasons. We found that model horizontal resolution is not a good indicator of model performance. Instead, a model’s local Maritime Continent biases are somewhat related to its biases in the local Hadley circulation and global monsoon. The comparison with coupled models in CMIP5 shows that AMIP models generally performed better than coupled models in the simulation of the global monsoon and local Hadley circulation but less well at simulating the Maritime Continent annual cycle of precipitation. To characterize model systematic biases in the AMIP runs, we performed cluster analysis on Maritime Continent annual cycle precipitation. Our analysis resulted in two distinct clusters. Cluster I models are able to capture both the winter monsoon and summer monsoon shift, but they overestimate the precipitation; especially during the JJA and SON seasons. Cluster II models simulate weaker seasonal migration than observed, and the maximum rainfall position stays closer to the equator throughout the year. The tropics-wide properties of these clusters suggest a connection between the skill of simulating global properties of the monsoon circulation and the skill of simulating the regional scale of Maritime Continent precipitation. © 2017, The Author(s).
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被引频次[WOS]:4   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/109446
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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Affiliation: Department of Meteorology, University of Reading, Earley Gate, Reading, RG6 6BB, United Kingdom; Malaysian Meteorological Department, Jalan Sultan, Petaling Jaya, Selangor 46667, Malaysia; National Centre for Atmospheric Science-Climate, University of Reading, Earley Gate, Reading, RG6 6BB, United Kingdom; European Centre for Medium Range Weather Forecasting, Shinfield Park, Reading, RG2 9AX, United Kingdom

Recommended Citation:
Toh Y.Y.,Turner A.G.,Johnson S.J.,et al. Maritime Continent seasonal climate biases in AMIP experiments of the CMIP5 multimodel ensemble[J]. Climate Dynamics,2018-01-01,50(2018-03-04)
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